Teams

BC-Kramer/BrianKebschull4.0

2026 SoCal Doubles - Beach Cities · BC Men - 4.0

18 players · average NTRP 3.92 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings11 teams · BC Men - 4.0
TeamWLInd. WInd. LSets lostGames lost
1BC-AltaVista/JonathanLababit4.0000000
2BC-AltaVista/RobertGill4.0000000
3BC-MCC/JeffreyStephens4.0000000
4BC-MiraCosta/AsamSheikh4.0000000
5BC-AltaVista/JackFreed4.0000000
6BC-ErnieHowlett/JunYamayoshi4.0000000
7BC-WestEnd/EddySchuh4.0000000
8BC-PVTC/BarryIrvine4.0000000
9BC-WestEnd/KennyLee4.0000000
10BC-Kramer/BrianKebschull4.0000000
11BC-SBTC/JeffSamoff4.0000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.64 estimated across 16 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.97
Steven Chuang
published
3.82
Zeyang Ren
published
3.78
Brian Raymond
published 4
3.72
David Ball
published 4
3.72
John Magome
published
3.71
Charles Kim
published 4
3.71
Eric VanderPloeg
published 4
3.66
Eric Gutierrez
published
3.64
John Paul Jugo
published
3.58
Mark Landon
published
3.57
Sean McFerson
published
3.56
Stephen Goff
published
3.49
Jesse Wu
published
3.46
Brian Kebschull
published 4
3.44
Christian Capper
published 3.5
3.36
William Padula
published
J Stephen Pollock
published
Nick Palmieri
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Brian Kebschull + Eric VanderPloeg8652% gamesnot enough data
Mark Landon + Eric VanderPloeg5750% gamesnot enough data
Mark Landon + Brian Kebschull5548% gamesnot enough data
Eric VanderPloeg + David Ball4252% gamesnot enough data
Mark Landon + Brian Raymond213 matchesnot enough data
Christian Capper + William Padula213 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

Steven Chuang
5W–1L career · no lines in 2026
<1%58%42%
3.97
Zeyang Ren
4W–1L career · no lines in 2026
1%89%10%
3.82
4
Brian Raymond
68W–38L career · no lines in 2026
2%92%6%
3.78
4
David Ball
5W–5L career · no lines in 2026
5%92%2%
3.72
John Magome
4W–9L career · no lines in 2026
5%92%2%
3.72
4
Charles Kim
4W–6L career · type S · no lines in 2026
6%92%2%
3.71
4
Eric VanderPloeg
186W–96L career · no lines in 2026
7%91%2%
3.71
Eric Gutierrez
7W–3L career · no lines in 2026
13%87%1%
3.66
John Paul Jugo
23W–33L career · no lines in 2026
15%84%1%
3.64
Mark Landon
49W–56L career · no lines in 2026
29%71%<1%
3.58
Sean McFerson
0W–3L career · no lines in 2026
30%70%<1%
3.57
Stephen Goff
13W–18L career · no lines in 2026
32%68%<1%
3.56
Jesse Wu
1W–6L career · no lines in 2026
53%47%<1%
3.49
4
Brian Kebschull
69W–77L career · no lines in 2026
60%40%<1%
3.46
3.5
Christian Capper
16W–14L career · no lines in 2026
<1%66%34%
3.44
William Padula
7W–8L career · no lines in 2026
<1%83%17%
3.36
J Stephen Pollock
0W–2L career · no lines in 2026
not enough data
Nick Palmieri
1W–2L career · no lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.